I Specialize in Generative AI, Machine Learning, and Software Development. Let's Collaborate to bring innovative solutions to Life!
Hey — I'm Abhishek Dhawan, a recent graduate B.Tech CSE student specialising in AI & Data Science from Guru Gobind Singh Indraprastha University (GGSIPU).
My work sits at the intersection of machine learning, deep learning, and real-world problem solving. I've built emotion detection systems, language identification engines, recommendation models, and end-to-end data pipelines.
Beyond AI and data, I'm also a full-stack web developer proficient in HTML, CSS, JavaScript and Flask. I build end-to-end AI-powered web applications — not just trained models, but deployed products people can actually use.
I believe the most impactful data science work is explainable, accessible, and shipped. Whether it's a predictive dashboard, a computer vision app, or a data analysis report — I deliver from idea to deployment.
Currently open to: Data Science · ML Engineering · Business Analytics · AI Engineering · Data Analyst
Hands-on internship experience building real-world ML and AI solutions.
Completed the British Airways Data Science Job Simulation on Forage, modeling lounge eligibility at Heathrow Terminal 3 and predicting customer buying behaviour using machine learning techniques.
Completed the Quantium Data Analytics Job Simulation on Forage, gaining hands-on experience in data preparation and customer analytics, experimentation and uplift testing, and analytics and commercial application.
Everything I work with — from training models to shipping full-stack applications.
AI systems, data pipelines, and full-stack applications built from scratch.
AI-powered medical assistant chatbot that answers health-related queries using large language models, providing reliable information in a conversational interface.
Language detection system using NLP — identifies the language of any given text using TF-IDF feature extraction and machine learning classification across multiple languages.
Real-time human drowsiness detection using dlib's 68-point facial landmarks & Eye Aspect Ratio (EAR). Processes live video to flag drowsy frames with annotated output. Deployed on Hugging Face Spaces.
Detects human emotions from text using Machine Learning, NLP, and Gradio. Classifies text input into emotional categories with an interactive web interface.
Comprehensive analysis of YouTube channel data using MySQL. Explores trends in views, likes, comments, and subscriber counts through structured SQL queries and aggregations.
In-depth sales analysis of a pizza restaurant dataset using MySQL. Uncovers bestsellers, revenue trends, peak hours, and category performance through advanced SQL queries.
Full overview of my skills, projects, education, and certifications.
I'm actively looking for Data Science, ML, Business Analytics and AI Engineering roles. Reach out for opportunities, collaborations, or just to say hi!